Stop rating risk.
Start pricing it.
Cyber risk quantification puts a number on your exposure, in currency, not colour. Cordaata calculates it continuously, tied to your actual business processes.
One standard
A number you can stack against every other number.
Putting risk in financial terms gives you a standard. It applies to one system or the whole organisation. It’s grounded in what could actually happen, not a subjective colour.
One standard means everything can be compared. A payment system against a data warehouse. One process against another. That’s what makes prioritisation possible, seeing where exposure actually concentrates, not guessing which risk is higher.
CRQ has its blind spots.
If you’re already trying to put a number on cyber risk, the instinct is right. But here’s what you’re probably missing.
Imagination
Scenarios are limited to what someone can imagine. What nobody thinks of never gets modelled, and stays invisible until it happens.
Bias
Even among scenarios someone could imagine, the ones chosen to model tend to be recent or familiar, not necessarily the ones that matter most.
Scale
Gathering inputs takes time. Scoping, finding the expert, getting their estimate. That effort limits how many scenarios ever get built.
Drift
Refreshing a model means re-collecting inputs, new interviews, new estimates. That’s most of the original effort, so it isn’t frequent.
Controls
Control effectiveness usually gets folded into one number. Judgement is used to determine how much each control is actually contributing.
Expertise
Useful output takes calibrated estimation, a specialised craft most organisations don’t have the luxury of keeping on staff.
Together, these leave you with a picture that’s most likely incomplete and skewed.
A different starting point
Cordaata isn’t your traditional CRQ.
Traditional CRQ
Traditional CRQ starts by asking what could go wrong, and someone has to imagine a scenario before it can be modelled. That’s where the limits of imagination and bias creep in.
Quantifying more of your environment means mapping more of it, not running more workshops. Updating the picture means the model recalculates from what’s changed, not a fresh round of estimates.
Cordaata
Cordaata starts from what you actually have. Every system, control, and dependency gets accounted for, and risk gets worked out from what’s been mapped.
Controls work the same way, calculated against the specific factor each one affects, with diminishing returns when more than one protects the same thing. And none of it takes special training to read.
The output comes from the model, not from less than ideal inputs, so you’re reading a result, not building one.
What you actually get.
Hundreds of scenarios, run continuously. New risks evaluated as they emerge. Impact updated as your environment changes, automatically.
By the numbers
CRQ. Just better numbers.
See how it’s built.
